Sparse Ordinal Logistic Regression and Its Application to Brain Decoding

Sparse Ordinal Logistic Regression and Its Application to Brain Decoding

Brain decoding with multivariate classification and regression has provided a powerful framework for characterizing information encoded in population neural activity. Classification and regression models are respectively used to predict discrete and continuous variables of interest. However, cogniti...

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Bibliographic Details
Main Authors: Emi Satake, Kei Majima, Shuntaro C. Aoki, Yukiyasu Kamitani
Format: Article
Language:English
Published: Frontiers Media S.A. 2018-08-01
Series:Frontiers in Neuroinformatics
Subjects:
decoding
functional magnetic resonance imaging
ordinal logistic regression
bayesian estimation
sparseness
Online Access:https://www.frontiersin.org/article/10.3389/fninf.2018.00051/full

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https://www.frontiersin.org/article/10.3389/fninf.2018.00051/full

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